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Service-Oriented Mapping: Changing Paradigm in Map Production and Geoinformation Management de Jürgen Döllner

Service-Oriented Mapping: Changing Paradigm in Map Production and Geoinformation Management: Lecture Notes in Geoinformation and Cartography

Editat de Jürgen Döllner, Markus Jobst, Peter Schmitz
en Limba Engleză Hardback – 8 iun 2018
This book gathers various perspectives on modern map production. Its primary focus is on the new paradigm of “sharing and reuse,” which is based on decentralized, service-oriented access to spatial data sources. 
Service-Oriented Mapping is one of the main paradigms used to embed big data and distributed sources in modern map production, without the need to own the sources. To be stable and reliable, this architecture requires specific frameworks, tools and procedures. In addition to the technological structures, organizational aspects and geographic information system (GIS) capabilities provide powerful tools to make modern geoinformation management successful. 
Addressing a range of aspects, including the implementation of the semantic web in geoinformatics, using big data for geospatial visualization, standardization initiatives, and the European spatial data infrastructure, the book offers a comprehensive introduction to decentralized map production.
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Specificații

ISBN-13: 9783319724331
ISBN-10: 3319724339
Pagini: 492
Ilustrații: XXX, 434 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.83 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Geoinformation and Cartography

Locul publicării:Cham, Switzerland

Cuprins

Changing Paradigm in Map Production and Geoinformation Management – an Introduction.- Service-Oriented Processing and Analysis of Massive Point Clouds in Geoinformation Management.- Establishing Common Ground through INSPIRE: the Legally- Driven European Spatial Data Infrastructure.- Developing a Statistical Geospatial Framework for the European Statistical System.- Vizzuality: Designing Purposeful Maps to Achieve SDGs.- Geospatial Data Mining and Analytics for Real-Estate Ap-plications.- How Standards Help the Geospatial Industry Keep Pace with Advancing Technology.- Standards – Making Geographic Information Discoverable,Accessible and Usable for Modern Cartography.- From Maps to Apps – Entering another Technological Di- mension within the Geological Survey of Austria.

Recenzii

“The articles range in tone from a highly accessible white-paper style—useful to those planning for the use or provisioning of data or maps—to highly technical pieces clearly targeted at those who might be designing the delivery systems.” (Amy Rock, Cartographic Perspectives, Issue 92, 2019)

Textul de pe ultima copertă

This book gathers various perspectives on modern map production. Its primary focus is on the new paradigm of “sharing and reuse,” which is based on decentralized, service-oriented access to spatial data sources. 
Service-Oriented Mapping is one of the main paradigms used to embed big data and distributed sources in modern map production, without the need to own the sources. To be stable and reliable, this architecture requires specific frameworks, tools and procedures. In addition to the technological structures, organizational aspects and geographic information system (GIS) capabilities provide powerful tools to make modern geoinformation management successful. 
Addressing a range of aspects, including the implementation of the semantic web in geoinformatics, using big data for geospatial visualization, standardization initiatives, and the European spatial data infrastructure, the book offers a comprehensive introduction to decentralized map production.

Caracteristici

Offers a comprehensive introduction to decentralized map production Includes chapters on standardization initiatives spearheaded by the Open Geospatial Consortium (OGC) and International Organization for Standardization (ISO) Features a special chapter on the European spatial data infrastructure, providing essential background information on the initial requirements and challenges Includes a chapter addressing the implementation of the semantic web in geoinformatics Gathers numerous contributions that report on using big data for geospatial visualization Describes recent efforts in statistical geospatial framework integration